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+ ---
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+ language:
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+ - en
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+ - de
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+ - fr
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+ - it
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+ - pt
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+ - hi
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+ - es
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+ - th
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+ library_name: transformers
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+ pipeline_tag: text-generation
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+ tags:
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+ - facebook
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+ - meta
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+ - pytorch
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+ - llama
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+ - llama-3
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+ - llama-cpp
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+ - gguf-my-repo
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+ license: llama3.2
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+ extra_gated_prompt: "### LLAMA 3.2 COMMUNITY LICENSE AGREEMENT\n\nLlama 3.2 Version\
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+ \ any dispute arising out of this Agreement. \n### Llama 3.2 Acceptable Use Policy\n\
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+ \ not apply to end users of a product or service that incorporates any such multimodal\
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+ \ models.\n\nPlease report any violation of this Policy, software “bug,” or other\
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+ \ problems that could lead to a violation of this Policy through one of the following\
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+ \ means:\n\n* Reporting issues with the model: [https://github.com/meta-llama/llama-models/issues](https://l.workplace.com/l.php?u=https%3A%2F%2Fgithub.com%2Fmeta-llama%2Fllama-models%2Fissues&h=AT0qV8W9BFT6NwihiOHRuKYQM_UnkzN_NmHMy91OT55gkLpgi4kQupHUl0ssR4dQsIQ8n3tfd0vtkobvsEvt1l4Ic6GXI2EeuHV8N08OG2WnbAmm0FL4ObkazC6G_256vN0lN9DsykCvCqGZ)\n\
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+ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
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+ * Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama\
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+ \ 3.2: LlamaUseReport@meta.com"
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+ extra_gated_fields:
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+ First Name: text
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+ Last Name: text
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+ Date of birth: date_picker
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+ Country: country
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+ Affiliation: text
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+ Job title:
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+ type: select
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+ options:
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+ - Student
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+ - Research Graduate
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+ - AI researcher
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+ - AI developer/engineer
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+ - Reporter
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+ - Other
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+ geo: ip_location
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+ ? By clicking Submit below I accept the terms of the license and acknowledge that
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+ the information I provide will be collected stored processed and shared in accordance
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+ with the Meta Privacy Policy
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+ : checkbox
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+ extra_gated_description: The information you provide will be collected, stored, processed
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+ and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
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+ extra_gated_button_content: Submit
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+ base_model: meta-llama/Llama-3.2-3B-Instruct
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+ ---
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+
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+ # velyan/Llama-3.2-3B-Instruct-IQ3_M-GGUF
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+ This model was converted to GGUF format from [`meta-llama/Llama-3.2-3B-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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+ Refer to the [original model card](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) for more details on the model.
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+
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+ ## Use with llama.cpp
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+ Install llama.cpp through brew (works on Mac and Linux)
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+
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+ ```bash
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+ brew install llama.cpp
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+
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+ ```
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+ Invoke the llama.cpp server or the CLI.
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+
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+ ### CLI:
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+ ```bash
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+ llama-cli --hf-repo velyan/Llama-3.2-3B-Instruct-IQ3_M-GGUF --hf-file llama-3.2-3b-instruct-iq3_m-imat.gguf -p "The meaning to life and the universe is"
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+ ```
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+
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+ ### Server:
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+ ```bash
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+ llama-server --hf-repo velyan/Llama-3.2-3B-Instruct-IQ3_M-GGUF --hf-file llama-3.2-3b-instruct-iq3_m-imat.gguf -c 2048
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+ ```
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+
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+ Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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+
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+ Step 1: Clone llama.cpp from GitHub.
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+ ```
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+ git clone https://github.com/ggerganov/llama.cpp
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+ ```
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+
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+ Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
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+ ```
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+ cd llama.cpp && LLAMA_CURL=1 make
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+ ```
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+
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+ Step 3: Run inference through the main binary.
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+ ```
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+ ./llama-cli --hf-repo velyan/Llama-3.2-3B-Instruct-IQ3_M-GGUF --hf-file llama-3.2-3b-instruct-iq3_m-imat.gguf -p "The meaning to life and the universe is"
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+ ```
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+ or
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+ ```
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+ ./llama-server --hf-repo velyan/Llama-3.2-3B-Instruct-IQ3_M-GGUF --hf-file llama-3.2-3b-instruct-iq3_m-imat.gguf -c 2048
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+ ```